How to Audit npm Postinstall Scripts Safely
Inspect every lifecycle script in your node_modules tree, disable dangerous ones by default, and catch malicious postinstall hooks before they execute.
Deep dives, practical guides, and incident analyses from engineers who build Safeguard. No fluff, no vendor FUD — just what you need to ship secure software.
Inspect every lifecycle script in your node_modules tree, disable dangerous ones by default, and catch malicious postinstall hooks before they execute.
Chainguard ships container images with zero known CVEs. That sounds like marketing until you understand how they build them. Here is the technical reality behind the claim.
As organizations download pre-trained models from Hugging Face and other model hubs, the AI supply chain introduces risks that traditional software security tools don't address.
Practical guidance on isolating tenants on shared Model Context Protocol servers, covering identity, data, compute, and observability boundaries at production scale.
An AI that reads your security data needs the same access controls as a human analyst. Most pure-LLM vendors stop at the role name. Safeguard enforces the scope.
Gemini's function calling is strong and flexible. Griffin AI's tool layer is narrow and opinionated. For security workflows, the opinionated approach wins.
When an agent can call tools, the permission boundary is no longer between the user and the system. It is between the model's current beliefs and everything the model can reach. That is a much harder boundary to defend.
Decomposing a monolith into microservices changes the attack surface fundamentally. The security model that worked for the monolith will not work for the distributed system.
Legacy systems are supply chain time bombs—running outdated dependencies, unsupported frameworks, and unmaintained libraries. Here's how to manage the risk.
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